Skin Cancer Detection using TensorFlow in Python

Skin Cancer Detection using TensorFlow in Python

Skin Cancer Detection using TensorFlow in Python. Using deep learning and neural networks, we'll be able to classify benign and malignant skin diseases. We will make a skin disease classifier that tries to distinguish between benign (nevus and seborrheic keratosis) and malignant (melanoma) skin diseases from only photographic images using TensorFlow framework in Python.

Learn how to use transfer learning to build a model that is able to classify benign and malignant (melanoma) skin diseases in Python using TensorFlow 2.

Skin cancer is an abnormal growth of skin cells, it is one of the most common cancers and unfortunately, it can become deadly. The good news though, is when caught early, your dermatologist can treat it and eliminate it entirely.

Using deep learning and neural networks, we'll be able to classify benign and malignant skin diseases, which may help the doctor diagnose the cancer in an earlier stage. In this tutorial, we will make a skin disease classifier that tries to distinguish between benign (nevus and seborrheic keratosis) and malignant (melanoma) skin diseases from only photographic images using TensorFlow framework in Python.

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